How much time do you waste every day updating your AI agents with company context?
I spend 40 minutes every morning re-explaining my company to Claude, then doing the same for ChatGPT. By the time AI actually understands my business, half my free quota is gone on background information. Not real work.
CLAUDE.md files go stale. Claude Projects doesn't know what happened on Slack last night. ChatGPT Memory only works inside ChatGPT. None of them talk to each other.
We're building FlowTask to fix this connect WhatsApp, Slack, Gmail, approval layer on top so personal stays personal, and any AI agent reads from the same brain via MCP simultaneously.
Launching on Product Hunt on July 28th. Anyone else feel this pain?
Congrats on the launch; a really interesting project. I’m interested in the approval layer specifically as this is something I’ve been wrestling with in my own business.
Controlling what the model gets is definitely a critical factor in success on company implementations. So, I’m curious; how does that work in practice?
This is something I say to every C-level I talk to: if a person's knowledge doesn't become the company's knowledge, the hire was meaningless. Most teams lose that expertise the moment someone's out sick or leaves. Turning scattered Slack, email, and WhatsApp threads into one living memory solves something I run into constantly. Well done.
Very Happy to announce FlowTask on Today's Product Launch. After working for months on out SaaS we have finally launched FlowTask 2.0 which has much better Operations Management, now comes with a larger AI context for companies with large number of employees. Hope ya'll enjoy it!! Happy Coding.
Voquill
I like that you're tackling the context problem instead of trying to cram more data into the model. Congrats on the launch!
I've struggled with scattered knowledge across different tools, so this feels really handy and removes a lot of friction. Congrats on the launch !